Literature DB >> 29745131

Navigating surgical fluorescence cameras using near-infrared optical tracking.

Matthias van Oosterom1, David den Houting1, Cornelis van de Velde1, Fijs van Leeuwen1,2.   

Abstract

Fluorescence guidance facilitates real-time intraoperative visualization of the tissue of interest. However, due to attenuation, the application of fluorescence guidance is restricted to superficial lesions. To overcome this shortcoming, we have previously applied three-dimensional surgical navigation to position the fluorescence camera in reach of the superficial fluorescent signal. Unfortunately, in open surgery, the near-infrared (NIR) optical tracking system (OTS) used for navigation also induced an interference during NIR fluorescence imaging. In an attempt to support future implementation of navigated fluorescence cameras, different aspects of this interference were characterized and solutions were sought after. Two commercial fluorescence cameras for open surgery were studied in (surgical) phantom and human tissue setups using two different NIR OTSs and one OTS simulating light-emitting diode setup. Following the outcome of these measurements, OTS settings were optimized. Measurements indicated the OTS interference was caused by: (1) spectral overlap between the OTS light and camera, (2) OTS light intensity, (3) OTS duty cycle, (4) OTS frequency, (5) fluorescence camera frequency, and (6) fluorescence camera sensitivity. By optimizing points 2 to 4, navigation of fluorescence cameras during open surgery could be facilitated. Optimization of the OTS and camera compatibility can be used to support navigated fluorescence guidance concepts. (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE).

Entities:  

Keywords:  augmented reality; computer-assisted surgery; fluorescence-guided surgery; optical tracking; surgical navigation

Mesh:

Year:  2018        PMID: 29745131     DOI: 10.1117/1.JBO.23.5.056003

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  3 in total

1.  Improved generative adversarial networks using the total gradient loss for the resolution enhancement of fluorescence images.

Authors:  Chong Zhang; Kun Wang; Yu An; Kunshan He; Tong Tong; Jie Tian
Journal:  Biomed Opt Express       Date:  2019-08-22       Impact factor: 3.732

2.  Dental Implant Navigation System Based on Trinocular Stereo Vision.

Authors:  Songlin Bi; Menghao Wang; Jiaqi Zou; Yonggang Gu; Chao Zhai; Ming Gong
Journal:  Sensors (Basel)       Date:  2022-03-27       Impact factor: 3.576

Review 3.  The current status and future prospects for molecular imaging-guided precision surgery.

Authors:  Imke Boekestijn; Matthias N van Oosterom; Paolo Dell'Oglio; Floris H P van Velden; Martin Pool; Tobias Maurer; Daphne D D Rietbergen; Tessa Buckle; Fijs W B van Leeuwen
Journal:  Cancer Imaging       Date:  2022-09-06       Impact factor: 5.605

  3 in total

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